fit_marginalPoisson: Fits a Poisson distribution as marginal law
In trawl: Estimation and Simulation of Trawl Processes
Description
Usage
Arguments
Details
Value
View source: R/FitMarginalDistributions.R
Description
Fits a Poisson distribution as marginal law
Usage
1
fit_marginalPoisson(x, LM, plotdiag = FALSE)
Arguments
x
vector of equidistant time series data
LM
Lebesgue measure of the estimated trawl
plotdiag
binary variable specifying whether or not diagnostic plots
should be provided
Details
The moment estimator for the Poisson rate parameter is given by
\hat v = \mbox{E}(X)/\widehat{ \mbox{LM}}.
Value
v: the rate parameter in the Poisson marginal distribution
trawl documentation built on Feb. 23, 2021, 1:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value
View source: R/FitMarginalDistributions.R
Description
Fits a Poisson distribution as marginal law
Usage
1 | fit_marginalPoisson(x, LM, plotdiag = FALSE)
|
Arguments
x |
vector of equidistant time series data |
LM |
Lebesgue measure of the estimated trawl |
plotdiag |
binary variable specifying whether or not diagnostic plots should be provided |
Details
The moment estimator for the Poisson rate parameter is given by
\hat v = \mbox{E}(X)/\widehat{ \mbox{LM}}.
Value
v: the rate parameter in the Poisson marginal distribution
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.